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Inferential Statisticshard
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Consider testing H0:θ=0H_0: \theta = 0H0​:θ=0 versus H1:θ>0H_1: \theta > 0H1​:θ>0. If the Score statistic is S=U2IS = \frac{U^2}{I}S=IU2​ where UUU is the gradient and III is Fisher information, and we observe S=3.2S=3.2S=3.2, what is the p-value for a one-sided test?